code: def test_leaky_rectlin_positives(backend_default):
      slope = 0.2
      inputs = np.array([1, 3, 2]).reshape((3, 1))
      outputs = np.array([1, 3, 2]).reshape((3, 1))
      compare_tensors(Rectlin(slope=slope), inputs, outputs)
  
imports: from math import tanh
  import numpy
  from neon import NervanaObject
  from neon.transforms import Identity, Rectlin, Softmax, Tanh, Logistic, Sign, PixelwiseSoftmax
  from utils import allclose_with_out
label_desc: Use image node_id 10 for calling a global function with example usage: test_leaky_rectlin_positives(backend_default) without return types